Liwen Zhang

Generating author description...

All published works

Action	Title	Year	Authors
+	TripleSurv: Triplet Time-adaptive Coordinate Loss for Survival Analysis	2024	Liwen Zhang Lianzhen Zhong Fan Yang Di Dong Hui Hui Jie Tian
+	InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks	2023	Yufei Guo Yuanpei Chen Liwen Zhang YingLei Wang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma
+ PDF Chat	RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks	2023	Yufei Guo Xiaode Liu Yuanpei Chen Liwen Zhang Weihang Peng Yuhan Zhang Xuhui Huang Zhe Ma
+ PDF Chat	Membrane Potential Batch Normalization for Spiking Neural Networks	2023	Yufei Guo Yuhan Zhang Yuanpei Chen Weihang Peng Xiaode Liu Liwen Zhang Xuhui Huang Zhe Ma
+ PDF Chat	Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization	2023	Yufei Guo Weihang Peng Yuanpei Chen Liwen Zhang Xiaode Liu Xuhui Huang Zhe Ma
+	Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization	2023	Yufei Guo Weihang Peng Yuanpei Chen Liwen Zhang Xiaode Liu Xuhui Huang Zhe Ma
+	Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization	2023	Pengzhi Gao Liwen Zhang Zhongjun He Hua Wu Haifeng Wang
+	InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks	2023	Yufei Guo Yuanpei Chen Liwen Zhang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma
+	Variance Control for Distributional Reinforcement Learning	2023	Qi Kuang Zhoufan Zhu Liwen Zhang Fan Zhou
+ PDF Chat	Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization	2023	Pengzhi Gao Liwen Zhang Zhongjun He Hua Wu Haifeng Wang
+	RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks	2023	Yufei Guo Xiaode Liu Yuanpei Chen Liwen Zhang Weihang Peng Yuhan Zhang Xuhui Huang Zhe Ma
+	Membrane Potential Batch Normalization for Spiking Neural Networks	2023	Yufei Guo Yuhan Zhang Yuanpei Chen Weihang Peng Xiaode Liu Liwen Zhang Xuhui Huang Zhe Ma
+	YAYI 2: Multilingual Open-Source Large Language Models	2023	Yin Luo Qingchao Kong Nan Xu Jia Cao Bao Hao Baoyu Qu Bo Chen Chao Zhu Chenyang Zhao Donglei Zhang
+	Real Spike: Learning Real-valued Spikes for Spiking Neural Networks	2022	Yufei Guo Liwen Zhang Yuanpei Chen Xinyi Tong Xiaode Liu YingLei Wang Xuhui Huang Zhe Ma
+ PDF Chat	Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks	2022	Yufei Guo Liwen Zhang Yuanpei Chen Xinyi Tong Xiaode Liu YingLei Wang Xuhui Huang Zhe Ma
+	Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning	2021	Fan Zhou Zhoufan Zhu Qi Kuang Liwen Zhang
+	Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning	2021	Fan Zhou Zhoufan Zhu Qi Kuang Liwen Zhang
+	Constrained Text Generation with Global Guidance -- Case Study on CommonGen	2021	Yixian Liu Liwen Zhang Wenjuan Han Yue Zhang Kewei Tu
+	Adversarial Attack and Defense of Structured Prediction Models	2020	Wenjuan Han Liwen Zhang Yong Jiang Kewei Tu
+	Acoustic scene classification using multi-layer temporal pooling based on convolutional neural network	2019	Liwen Zhang Jiqing Han
+	Tropical Geometry of Deep Neural Networks	2018	Liwen Zhang Gregory Naitzat Lek‐Heng Lim
+	Tropical Geometry of Deep Neural Networks	2018	Liwen Zhang Gregory Naitzat Lek‐Heng Lim
+	Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering	2016	Liwen Zhang John Winn Ryota Tomioka
+	Jointly Learning Multiple Perceptual Similarities.	2015	Liwen Zhang Subhransu Maji Ryota Tomioka

Common Coauthors

Coauthor	Papers Together
Xiaode Liu	10
Yufei Guo	10
Xuhui Huang	10
Yuanpei Chen	10
Weihang Peng	6
Yuhan Zhang	4
Zhe Ma	4
Xinyi Tong	4
Qi Kuang	3
Zhe Ma	3
YingLei Wang	3
Zhoufan Zhu	3
Fan Zhou	2
Gregory Naitzat	2
Wenjuan Han	2
Haifeng Wang	2
Kewei Tu	2
Hua Wu	2
Ryota Tomioka	2
Zhe Ma	2
Zhongjun He	2
Yuanyuan Ou	2
Pengzhi Gao	2
Lek‐Heng Lim	2
Chao Zhu	1
Jingyi Wang	1
Yue Zhang	1
Fan Zhou	1
Jie Tian	1
Lei Wang	1
Junfeng Li	1
Yuqi Wang	1
Jianbin Guo	1
Lei Sun	1
Lili Liu	1
Hailong Sun	1
Lin Wang	1
Rui Yan	1
Hui Hui	1
Di Dong	1
Ying Liu	1
Hongyu Liu	1
Xing Fang	1
Zhen Luo	1
Yao Dong	1
Chenyang Zhao	1
Yungan Wang	1
Feifei Zhao	1
Xinglin Xiao	1
Jiqing Han	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks	2020	Nitin Rathi Kaushik Roy	4
+	Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks	2018	Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi	4
+	Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks	2020	Wenrui Zhang Peng Li	4
+ PDF Chat	Going Deeper With Directly-Trained Larger Spiking Neural Networks	2021	Hanle Zheng Yujie Wu Lei Deng Yifan Hu Guoqi Li	4
+ PDF Chat	Going Deeper in Spiking Neural Networks: VGG and Residual Architectures	2019	Abhronil Sengupta Yuting Ye Robert Wang Chiao Liu Kaushik Roy	4
+	Direct Training for Spiking Neural Networks: Faster, Larger, Better	2019	Yujie Wu Lei Deng Guoqi Li Jun Zhu Yuan Xie Luping Shi	4
+ PDF Chat	Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks	2021	Wei Fang Zhaofei Yu Yanqi Chen Timothée Masquelier Tiejun Huang Yonghong Tian	4
+	Deep Residual Learning in Spiking Neural Networks	2021	Wei Fang Zhaofei Yu Yanqi Chen Tiejun Huang Timothée Masquelier Yonghong Tian	3
+ PDF Chat	Direct learning-based deep spiking neural networks: a review	2023	Yufei Guo Xuhui Huang Zhe Ma	3
+ PDF Chat	Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures	2020	Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda Gopalakrishnan Srinivasan Kaushik Roy	3
+ PDF Chat	Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization	2023	Yufei Guo Weihang Peng Yuanpei Chen Liwen Zhang Xiaode Liu Xuhui Huang Zhe Ma	3
+ PDF Chat	Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection	2020	Seijoon Kim Seongsik Park Byunggook Na Sungroh Yoon	3
+ PDF Chat	RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network	2020	Bing Han Gopalakrishnan Srinivasan Kaushik Roy	3
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation	2023	Qi Xu Yaxin Li Jiangrong Shen Jian K. Liu Huajin Tang Gang Pan	2
+	Prioritized Experience Replay	2015	Tom Schaul John Quan Ioannis Antonoglou David Silver	2
+ PDF Chat	Reducing ANN-SNN Conversion Error through Residual Membrane Potential	2023	Zecheng Hao Tong Bu Jianhao Ding Tiejun Huang Zhaofei Yu	2
+	Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks	2023	Qi Xu Yaxin Li Xuanye Fang Jiangrong Shen Jian K. Liu Huajin Tang Gang Pan	2
+ PDF Chat	ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks	2023	Jiangrong Shen Qi Xu Jian K. Liu Yueming Wang Gang Pan Huajin Tang	2
+ PDF Chat	T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding	2020	Seongsik Park Seijoon Kim Byunggook Na Sungroh Yoon	2
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	2
+ PDF Chat	Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks	2022	Yufei Guo Liwen Zhang Yuanpei Chen Xinyi Tong Xiaode Liu YingLei Wang Xuhui Huang Zhe Ma	2
+	Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes	2023	Zecheng Hao Jianhao Ding Tong Bu Tiejun Huang Zhaofei Yu	2
+ PDF Chat	Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch	2021	Youngeun Kim Priyadarshini Panda	2
+ PDF Chat	LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing	2021	Zhenzhi Wu Hehui Zhang Yihan Lin Guoqi Li Meng Wang Ye Tang	2
+	Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation	2020	Nitin Rathi Gopalakrishnan Srinivasan Priyadarshini Panda Kaushik Roy	2
+ PDF Chat	NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN	2024	Yufei Guo Yuanpei Chen Zhe Ma	2
+ PDF Chat	Exploring the Connection Between Binary and Spiking Neural Networks	2020	Sen Lu Abhronil Sengupta	2
+	BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction	2021	Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang Fengwei Yu Wei Wang Shi Gu	2
+ PDF Chat	Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks	2019	Seongsik Park Seijoon Kim Hyeokjun Choe Sungroh Yoon	2
+ PDF Chat	Channel Pruning for Accelerating Very Deep Neural Networks	2017	Yihui He Xiangyu Zhang Jian Sun	2
+	Model compression via distillation and quantization	2018	Antonio Polino Razvan Pascanu Dan Alistarh	2
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+ PDF Chat	A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule	2019	Yunzhe Hao Xuhui Huang Meng Dong Bo Xu	2
+	Exploration by Random Network Distillation	2018	Yuri Burda Harrison Edwards Amos Storkey Oleg Klimov	2
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	2
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	2
+	Implicit Quantile Networks for Distributional Reinforcement Learning	2018	Will Dabney Georg Ostrovski David Silver Rémi Munos	2
+	Dopamine: A Research Framework for Deep Reinforcement Learning	2018	Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare	2
+ PDF Chat	Learning to Write with Cooperative Discriminators	2018	Ari Holtzman Jan Buys Maxwell Forbes Antoine Bosselut David Golub Yejin Choi	2
+ PDF Chat	Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks	2019	Ruihao Gong Xianglong Liu Shenghu Jiang Tianxiang Li Peng Hu Jiazhen Lin Fengwei Yu Junjie Yan	2
+	A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration	2021	Yuhang Li Shikuang Deng Xin Dong Ruihao Gong Shi Gu	2
+	Instance Normalization: The Missing Ingredient for Fast Stylization	2016	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	1
+ PDF Chat	Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations	2016	Eliyahu Kiperwasser Yoav Goldberg	1
+	Word Representations via Gaussian Embedding	2014	Luke Vilnis Andrew McCallum	1
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	1
+ PDF Chat	Simple online and realtime tracking	2016	Alex Bewley Zongyuan Ge Lionel Ott Fábio Ramos Ben Upcroft	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	A rank minimization heuristic with application to minimum order system approximation	2001	Maryam Fazel H. Hindi Stephen Boyd	1